Multi-Agent Game Abstraction via Graph Attention Neural Network

Understand

In large-scale multi-agent systems, the large number of agents and complex game relationship cause great difficulty for policy learning.

• Therefore, simplifying the learning process is an important research issue.
• In many multi-agent systems, the interactions between agents often happen locally, which means that agents neither need to coordinate with all other agents nor need to coordinate with others all the time.
• Traditional methods attempt to use pre-defined rules to capture the interaction relationship between agents.